Results 1 to 10 of about 326,263 (144)
Localized Functional Principal Component Analysis [PDF]
Journal of the American Statistical Association, 2015 We propose localized functional principal component analysis (LFPCA), looking for orthogonal basis functions with localized support regions that explain most of the variability of a random process. The LFPCA is formulated as a convex optimization problem through a novel deflated Fantope localization method and is implemented through an efficient ...
Kehui Chen, Jing Lei
exaly +6 more sources
Multilevel sparse functional principal component analysis [PDF]
Stat, 2014 We consider analysis of sparsely sampled multilevel functional data, where the basic observational unit is a function and data have a natural hierarchy of basic units. An example is when functions are recorded at multiple visits for each subject. Multilevel functional principal component analysis was proposed recently for such data when functions are ...
Chongzhi Di
exaly +7 more sources
U.S. Adolescent Rest-Activity patterns: insights from functional principal component analysis (NHANES 2011–2014) [PDF]
International Journal of Behavioral Nutrition and Physical Activity, 2023 Background Suboptimal rest-activity patterns in adolescence are associated with worse health outcomes in adulthood. Understanding sociodemographic factors associated with rest-activity rhythms may help identify subgroups who may benefit from ...
Chris Ho Ching Yeung +4 more
doaj +2 more sources
Fast Multilevel Functional Principal Component Analysis. [PDF]
J Comput Graph Stat, 2023 We introduce fast multilevel functional principal component analysis (fast MFPCA), which scales up to high dimensional functional data measured at multiple visits. The new approach is orders of magnitude faster than and achieves comparable estimation accuracy with the original MFPCA (Di et al., 2009).
Cui E, Li R, Crainiceanu CM, Xiao L.
europepmc +3 more sources
Principal Component Analysis of Munich Functional Developmental Diagnosis
Pediatric Reports, 2021 Objectives: Munich Functional Developmental Diagnosis (MFDD) is a scale for assessing the psychomotor development of children in the first months or years of life.
Grażyna Pazera +3 more
doaj +3 more sources
Longitudinal Viral Load Clustering for People With HIV Using Functional Principal Component Analysis [PDF]
AIDS Research and TreatmentDiscussion: The findings highlight the impact of continuous clustering in understanding the distinct viral profiles of PWH and emphasize the importance of tailored treatment and insights to target interventions for all PWH.
Yunqing Ma +5 more
doaj +2 more sources
Trajectory modeling of gestational weight: A functional principal component analysis approach. [PDF]
PLoS ONE, 2017 Suboptimal gestational weight gain (GWG), which is linked to increased risk of adverse outcomes for a pregnant woman and her infant, is prevalent. In the study of a large cohort of Canadian pregnant women, our goals are to estimate the individual weight ...
Menglu Che +3 more
doaj +2 more sources
Mathematics, 2023 This work focuses on functional data presenting spatial dependence. The spatial autocorrelation of stock exchange returns for 71 stock exchanges from 69 countries was investigated using the functional Moran’s I statistic, classical principal component ...
Tzung Hsuen Khoo +2 more
doaj +3 more sources
Structured functional principal component analysis. [PDF]
Biometrics, 2015 Summary Motivated by modern observational studies, we introduce a class of functional models that expand nested and crossed designs. These models account for the natural inheritance of the correlation structures from sampling designs in studies where the fundamental unit is a function or image. Inference is based on functional quadratics
Shou H +3 more
europepmc +6 more sources
Rest-activity profiles among U.S. adults in a nationally representative sample: a functional principal component analysis [PDF]
International Journal of Behavioral Nutrition and Physical Activity, 2022 Background The 24-h rest and activity behaviors (i.e., physical activity, sedentary behaviors and sleep) are fundamental human behaviors essential to health and well-being.
Qian Xiao +5 more
doaj +2 more sources